Monitoring and Assessment of Air Pollution—Global Diversity in Sources and Impacts
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: closed (10 September 2022) | Viewed by 5086
Special Issue Editors
Interests: air quality; atmospheric chemistry; environmental health; emission inventory; radiative transfer; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: air pollution; atmospheric modeling; greenhouse gas; climate–chemistry interactions
Special Issues, Collections and Topics in MDPI journals
Interests: air quality; atmospheric modeling; PM2.5; public health
Interests: intercontinental air quality transport; interactions between climate change, air quality, and human health; urban air pollution; assessments of climate change, social factors, economics, and agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Air pollution has significantly interacted with human society during late modern and contemporary history. With usually short lifetimes and strong heterogeneity in sources, air pollution exhibits global diversities in abundances and trends, also yielding strong regionally and locally variant impacts on human and planetary health. The historical dominance of fossil-fuel emissions in causing particulate matter and ozone pollutions over developed regions have been gradually reduced, relative to the competitive or stronger contributions from other sources, which are more uncertain to characterize. Meanwhile, challenges remain in terms of correctly assessing and interpreting severe air pollutions and their impacts over developing areas, due to the stronger complexity of relevant sources and processes and the scarcity of observational information. Opportunities to quantify air pollution sources and impacts have been recently enhanced by emerging monitoring facilities, such as satellite remote sensing, low-cost sensors, and unmanned aerial vehicles, and by more sophisticated interpretation capabilities from numeric modeling and data science/machine learning techniques.
This Special Issue seeks original research or review papers that advance the characterization and/or understanding of air pollution worldwide. The specific subjects include but are not limited to:
1) Emerging observations of air pollution over under-monitored regions of the world, including new/modified observation platforms and capabilities;
2) Investigations that unveil unrecognized sources or new insights of air pollution, based on a synthesis of observations and modeling;
3) Assessment of air pollution impacts on human and planetary health, and their attribution to sources;
4) New interpretation and insights of air pollution sources and impacts arising from data science/machine learning techniques.
Dr. Chi Li
Prof. Dr. Xiao Lu
Dr. Jun-Wei Xu
Dr. Yuqiang Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- atmospheric composition
- sources and sinks
- health impacts of air pollution
- remote sensing
- low-cost sensors
- unmanned aerial vehicles
- atmospheric modeling
- data science/machine learning
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